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| Section | Objectives |
|---|---|
| Topic 1: Storage and Persistence | - Persistent storage configuration
|
| Topic 2: OpenShift Cluster Installation and Configuration | - Cluster setup and installation verification
|
| Topic 3: Cluster Administration | - User and role management
|
| Topic 4: Networking and Ingress | - Cluster networking
|
| Topic 5: Security and Troubleshooting | - Security management
|
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NEW QUESTION # 31
Scale an application automatically
Automatically scale the hydra application deployment configuration in the lerna project with the following requirements:
Minimum number of replicas: 6 Maximum number of replicas: 9
Target average CPU utilization: 60 percent Container CPU resource request: 25m Container CPU resource limit: 100m
Answer:
Explanation:
See the solution below in Explanation.
Explanation:
Solution:
$ oc project lerna
$ oc get pods
$ oc get all | grep deployment
$ oc autoscale deployment.apps/hydra --max=9 --min=6 --cpu-percent=60
$ oc get hpa
$ oc set resources deployment.apps/hydra --limits=cpu=100m -- requests=cpu=25m
$ oc describe deployment.apps/hydra | grep Limits -A3
NEW QUESTION # 32
Create a CronJob test-cron
Task information Details:
Create service account jupiter .
Grant anyuid SCC and cluster- admin to it.
Update CronJob cron-test to use that service account.
Answer:
Explanation:
See the solution below in Explanation.
Explanation:
Solution:
* Switch to the project hosting the cronjob, if needed:
oc project cron-test
* Create the service account:
oc create sa jupiter
* Grant anyuid:
oc adm policy add-scc-to-user anyuid -z jupiter -n cron-test
* Grant cluster-admin:
oc adm policy add-cluster-role-to-user cluster-admin system:serviceaccount:cron-test:jupiter
* Update the cronjob:
oc patch cronjob cron-test -p '{"spec":{"jobTemplate":{"spec":{"template":{"spec":{"serviceAccountName":" jupiter"}}}}}}'
* Verify:
oc get cronjob cron-test -o yaml | grep serviceAccountName
Notes:
* The uploaded lab uses oc set sa cronjob.batch/cron-test jupiter, which is not the usual command form for CronJobs. Patching the pod template is the reliable method.
This task checks service account and privilege adjustments for scheduled workloads.
NEW QUESTION # 33
Scale Application Manually
Task information Details:
Scale the httpd deployment to 5 replicas .
Answer:
Explanation:
See the solution below in Explanation.
Explanation:
Solution:
* Scale the deployment:
oc scale deployment httpd --replicas=5
* Verify:
oc get deployment httpd
oc get pods -l app=httpd
* Confirm the desired, current, and available replica counts match.
This task checks direct workload scaling using the OpenShift CLI.
NEW QUESTION # 34
Collect Cluster Information
Task information Details:
Run must-gather and archive the gathered data into a tar file.
Answer:
Explanation:
See the solution below in Explanation.
Explanation:
Solution:
* Run must-gather:
oc adm must-gather
* Confirm the directory created, usually something like:
ls
* Archive the directory:
tar -cvzf system10-4ktjl-l4kj5l-lk45j.tar.gz must-gather.local.*
* Verify:
ls -lh *.tar.gz
Notes:
* The lab text shows a tar command without source paths. A valid tar command must include the source directory or files.
* Use the actual must-gather output directory generated in your environment.
This task validates support-data collection and cluster diagnostics handling.
NEW QUESTION # 35
Autoscale of Pods
Task information Details:
Create an HPA for httpd with min=2 , max=9 , and CPU target 60% .
Set resource requests on the httpd deployment so autoscaling can function properly.
Answer:
Explanation:
See the solution below in Explanation.
Explanation:
Solution:
* Set resource requests on the deployment:
oc set resources deployment httpd --requests=cpu=50m,memory=100Mi
* Create the HPA:
oc autoscale deployment httpd --min=2 --max=9 --cpu-percent=60
* Verify:
oc get hpa
oc describe hpa httpd
oc get deployment httpd -o yaml
Why resource requests matter:
* HPA CPU utilization is calculated against requested CPU.
* Without requests, percentage-based autoscaling is incomplete or invalid.
This task focuses on autoscaling prerequisites and policy creation.
NEW QUESTION # 36
......
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